Triple

T5027314
Position Surface form Disambiguated ID Type / Status
Subject University of Florida E113208 entity
Predicate shortName P43 FINISHED
Object UF E113208 NE FINISHED

How this triple was built (2 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: UF | Statement: [University of Florida, shortName, UF]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: UF
Context triple: [University of Florida, shortName, UF]
  • A. UF chosen
    UF is a major public research university located in Gainesville, Florida, known for its strong academic programs and prominent athletic teams, the Florida Gators.
  • B. UA
    UA is a common abbreviation for the University of Arkansas, a public research university known for its flagship campus in Fayetteville.
  • C. UA
    UA is the two-letter IATA airline designator used worldwide to identify United Airlines on tickets, schedules, and flight information.
  • D. UA
    UA is the commonly used abbreviation for the University of Angers, a French public university located in Angers.
  • E. UA
    UA is a major public research university located in Tuscaloosa, Alabama, known for its strong academic programs and prominent Crimson Tide athletics.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69bd443775e48190a646ffbfc4334723 completed March 20, 2026, 12:57 p.m.
NER Named-entity recognition batch_69bd738d852c8190a122354f1e1f5343 completed March 20, 2026, 4:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69be9c64db5c81909224c82ae9d9e0ab completed March 21, 2026, 1:25 p.m.
Created at: March 20, 2026, 1:36 p.m.